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Pentaho for Big Data is a data integration tool based on Pentaho Data Integration. [2] It allows executing ETL jobs in and out of big data environments such as Apache Hadoop or Hadoop distributions such as Amazon, Cloudera, EMC Greenplum, MapR, and Hortonworks. [3] It also supports NoSQL data sources such as MongoDB and HBase. [4] Pentaho ...
RapidMiner – Data mining software written in Java, fully integrating Weka, featuring 350+ operators for preprocessing, machine learning, visualization, etc. – the prior version is available as open-source; Scriptella ETL – ETL (Extract-Transform-Load) and script execution tool. Supports integration with J2EE and Spring.
mondrian.pentaho.com Mondrian is an open source OLAP (online analytical processing) server , written in Java . It supports the MDX (multidimensional expressions) query language and the XML for Analysis and olap4j interface specifications.
Full integration of spatial data analysis tools with the R: classes for spatial data; handling spatial data; reading and writing spatial data; point pattern analysis; geostatistics; disease mapping and areal data analysis; spatial regression and ecological analysis. R GPL-2: Google Earth: yes Linux, MAC OS, Windows: Google: Google Earth: 3D ...
Most data integration tools skew towards ETL, while ELT is popular in database and data warehouse appliances. Similarly, it is possible to perform TEL (Transform, Extract, Load) where data is first transformed on a blockchain (as a way of recording changes to data, e.g., token burning) before extracting and loading into another data store.
Free / Commercial support available Yes GNU LGPL: Replaced by JBoss Fuse Magic xpi Integration Platform: Magic Software Enterprises: 4.0 2015-05 No Proprietary: Openadaptor: The Software Conservancy 3.4.6 2011-02 Free Yes variant of MIT OpenESB: OpenESB Community: 3.2.2 2014-12-02 Free / Enterprise Edition with commercial support Yes CDDL ...
The company’s main product is Apatar, [4] [5] a cross-platform open source desktop data integration tool that provides connectivity to a variety of databases, applications, protocols, files, and many more.
Web data integration (WDI) is the process of aggregating and managing data from different websites into a single, homogeneous workflow. This process includes data access, transformation, mapping, quality assurance and fusion of data. Data that is sourced and structured from websites is referred to as "web data".
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